模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
NLinear,845.356,29.075,20.267
RNN,972.286,31.182,22.988
TiDE,1028.451,32.069,23.463
TSMixer,1302.964,36.097,25.947
PatchTST,1328.982,36.455,25.99
NHITS,1562.545,39.529,29.168
DilatedRNN,1841.868,42.917,31.132
DLinear,1865.095,43.187,30.754
GRU,1948.117,44.137,37.899
LSTM,3160.178,56.215,46.181
Informer,3208.359,56.642,42.457
DeepNPTS,3342.861,57.817,42.448
MLP,3377.778,58.119,44.678
TFT,3480.96,59.0,45.242
TSMixerx,4424.076,66.514,50.562
BiTCN,4446.318,66.681,51.416
TCN,6855.79,82.8,68.446
MLPMultivariate,10183.86,100.915,79.735
iTransformer,13646.124,116.817,93.078
StemGNN,13746.6,117.246,94.793